{"title":"Image representation by means of CNN dynamics","authors":"Tang Tang, R. Tetzlaff","doi":"10.1109/CNNA.2012.6331407","DOIUrl":null,"url":null,"abstract":"By taking advantage of their nonlinear dynamics Cellular Nonlinear Networks (CNN) are considered to be powerful tools for many image processing applications. In this paper we will try to investigate the feasibility of image representation by using CNN dynamics.","PeriodicalId":387536,"journal":{"name":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th International Workshop on Cellular Nanoscale Networks and their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2012.6331407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
By taking advantage of their nonlinear dynamics Cellular Nonlinear Networks (CNN) are considered to be powerful tools for many image processing applications. In this paper we will try to investigate the feasibility of image representation by using CNN dynamics.
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